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'Natural Language Processing' is changing Big Data

Every day, social media trends are being analysed in real-time, in ways most people aren't even aware of. With computers now being able to harness the power of language context/natural language (platforms like IBM Watson and Wit.ai spring to mind) -- and even being able to understand slang, companies are now able to make Big Data even smarter by analysing human sentiments.

Cognovi Labs is a new analytics startup that relies on Twitris, a Wright State University-developed tool that claims to be able to take a sample of social media chatter about a specific topic and deduce real-time, large-scale, automated sentiment about the specific topic they are researching. As a real-world example of the tool’s capability, the Cognovi Labs research team — led by Wright State University researcher (and Cognovi Labs inventor) Dr. Amit Sheth — analyzed Twitter chatter leading up to the Great Britain/European Union Membership Referendum (Brexit) on June 23. The team was able to predict some six hours before the news broke that the polls leaning toward the “remain” camp were incorrect.

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